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基于亚细胞蛋白质组学和生物信息学分析鉴定胶质母细胞瘤替莫唑胺耐药相关的关键候选蛋白和通路。

Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis.

机构信息

Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.

The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.

出版信息

Biomed Res Int. 2018 Mar 1;2018:5238760. doi: 10.1155/2018/5238760. eCollection 2018.

Abstract

TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially expressed proteins (DEPs) screening, KEGG pathway analysis, protein-protein interaction (PPI) network construction, and validation of key candidate proteins in TCGA dataset. A total of 161 DEPs including 65 upregulated proteins and 96 downregulated proteins were identified. Upregulated DEPs were mainly related to regulation in actin cytoskeleton, focal adhesion, and phagosome and PI3K-AKT signaling pathways which were consistent with our previous studies. Further, the most significant module consisted of 28 downregulated proteins that were filtered from the PPI network, and 9 proteins (DHX9, HNRNPR, RPL3, HNRNPA3, SF1, DDX5, EIF5B, BTF3, and RPL8) among them were identified as the key candidate proteins, which were significantly associated with prognosis of GBM patients and mainly involved in ribosome and spliceosome pathway. Taking the above into consideration, we firstly identified candidate proteins and pathways associated with TMZ resistance in GBM using proteomics and bioinformatic analysis, and these proteins could be potential biomarkers for prevention or prediction of TMZ resistance in the future.

摘要

替莫唑胺耐药性仍然是胶质母细胞瘤(GBM)治疗失败的主要原因之一。为了研究与替莫唑胺耐药相关的潜在蛋白和途径,我们对用替莫唑胺处理 1 周的 U87 细胞进行了细胞质蛋白质组学研究,随后进行了差异表达蛋白(DEPs)筛选、KEGG 途径分析、蛋白质-蛋白质相互作用(PPI)网络构建以及 TCGA 数据集关键候选蛋白的验证。共鉴定出 161 个 DEPs,包括 65 个上调蛋白和 96 个下调蛋白。上调的 DEPs 主要与肌动蛋白细胞骨架、黏附斑和吞噬体以及 PI3K-AKT 信号通路的调节有关,这与我们之前的研究一致。此外,从 PPI 网络中筛选出的由 28 个下调蛋白组成的最显著模块,其中 9 个蛋白(DHX9、HNRNPR、RPL3、HNRNPA3、SF1、DDX5、EIF5B、BTF3 和 RPL8)被鉴定为关键候选蛋白,它们与 GBM 患者的预后显著相关,主要涉及核糖体和剪接体途径。综上所述,我们首次使用蛋白质组学和生物信息学分析鉴定了与 GBM 中替莫唑胺耐药相关的候选蛋白和途径,这些蛋白可能是未来预防或预测替莫唑胺耐药的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72b3/5852899/90b8c717dc33/BMRI2018-5238760.001.jpg

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